PASSPORT

In 2006, over 45.000 European citizens died of cirrhosis of the liver and 44,000 additional citizens of liver cancer, knowing that the same year 48,700 new liver cancer cases were declared. Surgical procedures remain the options that offer the foremost success rate against such pathologies. Regretfully, surgery is not so frequent due to several limitations.

Indeed, eligibility for liver surgery is based on the minimum safety liver volume remaining after resection (standardized FLR), but this minimum value varies over time and from one patient to another according to biological and mechanical properties of the liver. Since 1996, a large set of preoperative planning software has been developed, but all of them provide only the volume of the liver before and after resection. However interesting, this limited information is not sufficient to improve the rate of surgical eligibility.

PASSPORT for Liver Surgery (PAtient specific simulation and preoperative realistic training for liver surgery) project aims at overcoming these limitations by offering a patient-specific modelling that combines anatomical, mechanical, appearance and biological preoperative modelled information in a unified model of the patient. This first complete "Virtual liver" will be developed in an Open Source Framework allowing vertical integration of biomedical data, from macroscopic to microscopic patient information.

From these models, a dynamic liver modelling will provide the patient-specific minimum safety standardized FLR in an educative and preoperative planning simulator allowing to predict the feasibility of the gesture and surgeons' ability to realise it. Thus, any patient will be able to know the risk level of a proposed therapy.

The propsed project expects to increase the rate of surgical treatment so as to save patients with a liver pathology. To reach these purposes, PASSPORT is composed of a high level partnership between internationally renowned surgical teams, leading European research teams in surgical simulation and an international leading company in surgical instrumentation.

For further information, please visit:
http://www.passport-liver.eu

Project co-ordinator:
Institut de Recherche contre les Cancers de l'Appareil Digestif (France)

Partners:

  • Universität Leipzig (Germany)
  • Technischen Universität München (Germany)
  • University College London (United Kingdom)
  • Imperial College of Science, Technology and Medicine (United Kingdom)
  • Karl Storz GmbH & Co. KG (Germany)
  • Université Louis-Pasteur (France)
  • Institut National de Recherche en Informatique et en Automatique (France)
  • Eidgenössische Technische Hochschule Zürich (Switzerland)
  • Université catholique de Louvain (Belgium)

Timetable: from 06/2008 - to 05/2011

Total cost: € 5.460.000

EC funding: € 3.640.000

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

New Medical AI Tool Identifies more Case…

Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can...

NIH-Developed AI Algorithm Successfully …

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials...

Jane Stephenson Joins SPARK TSL as Chief…

Jane Stephenson has joined SPARK TSL as chief executive as the company looks to establish the benefits of SPARK Fusion with trusts looking for deployable solutions to improve productivity. Stephenson joins...

MEDICA 2024 and COMPAMED 2024: Medical T…

11 - 14 November 2024, Düsseldorf, Germany. "Meet Health. Future. People." is MEDICA's campaign motto for the future in the new trade fair year 2025. The aptness of the motto...

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...